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. 2018 Nov 12;34(8):1412–1418. doi: 10.1007/s11606-018-4724-z

Table 2.

Factors Associated with Addressing Lifestyle Management During Visits Involving Patients with Prediabetes, NAMCS 2013–2015 (n = 4039, Weighted n = 97,090,285)

Independent variable Odds ratio of lifestyle management (95% confidence interval) p
Age (years)
 18–44 1.00
 45–64 0.66 (0.40, 1.09) 0.10
 ≥ 65 0.56 (0.33, 0.94) 0.03
Race
 White, non-Hispanic 1.00
 Black, non-Hispanic 1.26 (0.72, 2.19) 0.42
 Hispanic 1.25 (0.69, 2.25) 0.46
 Other 1.13 (0.87, 1.47) 0.46
Sex
 Male (vs. female) 0.87 (0.67, 1.13) 0.29
Primary payer
 Private insurance 1.00
 Medicare/Medicaid 0.89 (0.64, 1.23) 0.47
 Uninsured/other 1.04 (0.68, 1.61) 0.85
Comorbidity
 Hyperlipidemia (vs. no) 1.74 (1.24, 2.44) 0.001
 Hypertension (vs. no) 1.36 (1.00, 1.86) 0.05
 Obesity (vs. no) 4.03 (2.91, 5.56) < 0.001
Number of chronic conditions
 0 1.00
 1 0.75 (0.46, 1.23) 0.24
 2 0.63 (0.37, 1.07) 0.08
 ≥ 3 0.65 (0.36, 1.18) 0.15
Physician characteristics
 Primary care (vs. no) 1.46 (1.03, 2.08) 0.03
 Metropolitan area* (vs. no) 0.66 (0.39, 1.11) 0.10
Region
 Northeast 1.00
 Midwest 1.10 (0.69, 1.77) 0.75
 South 1.96 (1.20, 3.19) 0.007
 West 1.03 (0.62, 1.72) 0.88

NAMCS National Ambulatory Medical Care Survey

*Based on physician location by metropolitan statistical area

Based on location where majority of visits records were sampled